Title
Where to go Next: Learning a Subgoal Recommendation Policy for Navigation in Dynamic Environments
Abstract
Robotic navigation in environments shared with other robots or humans remains challenging because the intentions of the surrounding agents are not directly observable and the environment conditions are continuously changing. Local trajectory optimization methods, such as model predictive control (MPC), can deal with those changes but require global guidance, which is not trivial to obtain in crowd...
Year
DOI
Venue
2021
10.1109/LRA.2021.3068662
IEEE Robotics and Automation Letters
Keywords
DocType
Volume
Robots,Collision avoidance,Navigation,Training,Planning,Vehicle dynamics,Robot kinematics
Journal
6
Issue
ISSN
Citations 
3
2377-3766
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Bruno Brito112.39
Michael Everett2627.18
Jonathan How31759185.09
Javier Alonso-Mora437534.15